What Data for This Category Looks Like
This data comes from compliant pharmaceutical and biological industry market and valuation data sources. Full data for all eligible biological product targets is updated within 1 hour after the close of each trading day. The data uses a structured two-dimensional document format. Each row corresponds to a single biological product target. Fields include target code, product generic name, daily settlement price, previous trading day settlement price, daily profit change value, trading date, and others. The settlement price unit is yuan per dosage unit. Profit change value is presented as a change magnitude value corresponding to the benchmark pricing unit. No additional statistical aggregation fields are included.
Constraints for Tool Calling and Plugins
Compliant authorization of the data source requires that valid identity identifiers must be included when calling tools. Requests without valid identifiers will be rejected by the interface. The fixed post-close update schedule requires that scheduled trigger tasks for plugins be set to approximately 1.5 hours after the close of trading days. This avoids pulling incomplete, unupdated same-day data. The fixed field requirements of the structured document require that tool calling parameters must precisely match required fields such as target code and trading date. Missing fields or mismatched field names will result in empty return results. Pricing rules for different dosage units require that filtering parameters for the corresponding unit must be passed when calling tools. Otherwise, numerical statistical deviations will occur. The fixed update cycle also requires that the plugin cache validity period be set to 24 hours. This prevents use of expired data that would reduce reporting accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_cron_expression | 0 30 21 * * 1-5 | Matches the update schedule 1.5 hours after the close of domestic trading days, ensuring pulling the latest same-day biological product market data |
tool_request_timeout | 600 seconds | Pulling full target data for biological products requires a longer request duration. This setting prevents incomplete requests from being interrupted by timeouts |
plugin_global_var_default | {"market_type": "biological_product", "pricing_unit": "standard"} | Pre-sets category and pricing rule parameters to simplify input parameter configuration for each tool call, and matches the data source filtering logic |
tool_field_mapping | {"subject_code": "code", "product_name": "name", "daily_income_change": "daily_change"} | Directly corresponds to structured field names returned by the data source, ensuring the plugin correctly parses returned data |
workflow_tool_error_handler | Retry 2 times, with a 10-second interval | Addresses occasional interface rate limiting or network fluctuations, reducing the probability of direct tool call errors |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: After a workflow initiates a query, the tool calling step directly returns a 400 status code error. Cause: Tool calling parameters do not match the required fields of the data source. For example, failing to pass target code or trading date parameters leads to interface verification failure.
- Symptom: The initial value of the plugin's global variable does not take effect, and default null values are still used during calls. Cause: The global variable default value was not correctly filled in the plugin configuration page, or the global variable transfer switch was not enabled in the workflow.
- Symptom: Tool calls occasionally return empty content, or requests get stuck for 10 seconds before throwing an error. Cause: A reasonable tool call timeout period was not configured, or the data source interface experienced temporary rate limiting leading to uncompleted request timeouts.
How to Verify Proper Configuration
- Manually trigger a plugin task, check if the returned structured data includes the content mapped by the configured fields, and verify that field names match the actual return format of the data source.
- Check the tool calling node in the workflow, confirm that global variable parameters have been correctly passed, and that parameter values match the preset default values.
- View the tool call run logs, confirm that the request timeout period and retry count match the configured items, with no missing parameters or format errors.
- Wait for one full post-close trading day, check the scheduled task execution results, confirm that the pulled data is the latest same-day biological product market data.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.